Method and System for Assessment of Cognitive Load from Bio-Potentials Measured Using Wearable Endosomatic Device

2. The processor implemented method of claim 1, wherein the method comprises utilizing the trained classifier to classify the cognitive task performed by the subject in real time into the high load task and the low load task.

5. The system of claim 4, wherein the one or more hardware processors are further configured to utilize the trained classifier to classify the cognitive task performed by the subject in real time into the high load task and the low load task.

8. The non-transitory machine-readable information storage mediums as claimed in claim 7, wherein the one or more hardware processors are further configured to perform the steps of utilizing the trained classifier to classify the cognitive task performed by the subject in real time into the high load task and the low load task.